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Linear regression is the most basic and commonly used predictive analysis. Regression estimates are used to describe data and to explain the relationship between one dependent variable and one or more independent variables.
As Juan and Thiago noted the dependent variable in logistic regression can be dichotomous (=zero or one, presence or absence, death or survival). Logistic regression also applies to clusters of dichotomous responses. For example, if the dependent variable is the number of successes in a fixed number of trials.